Clustered from Scientific Research

Comparison of EF-BDBA ( alpha =0.9 ) and traditional feature selection methods. Lasso regression, random forest, linear regression, and chi-square test were used to select the same number of features as BDBA, respectively, and then the SVM classification model was used to perform five-fold cross-validation on the feature data selected by each model

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